# -*- coding: utf-8 -*-
from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

from jms.dim.dim_network_whole_massage import jms_dim__dim_network_whole_massage
#from jms.dwd.dwd_order_source_detail_dt import jms_dwd__dwd_order_source_detail_dt
from jms.dm.dm_waybill_collect_intime import jms_dm__dm_waybill_collect_intime
from jms.dwd.tab.dwd_tab_reback_transfer_express_base import jms_dwd__dwd_tab_reback_transfer_express_base
from jms.dwd.tab.dwd_tab_barscan_sitesend_base_dt import jms_dwd__dwd_tab_barscan_sitesend_base_dt
from jms.dwd.tab.dwd_tab_end_piece_base import jms_dwd__dwd_tab_end_piece_base
from jms.dwd.dwd_warhouse.dwd_wide_barscan_operations_hist_dt import jms_dwd__dwd_wide_barscan_operations_hist_dt
from jms.dwd.oms.dwd_yl_oms_oms_waybill_incre_dt import jms_dwd__dwd_yl_oms_oms_waybill_incre_dt

jms_dm__dm_collect_ready_intime_detail_dt = SparkSqlOperator(
    task_id='jms_dm__dm_collect_ready_intime_detail_dt',
    task_concurrency=1,
    pool_slots=1,
    master='yarn',
    retries=2,
    #execution_timeout=timedelta(hours=3)
    #excel平均时长:9分24秒
    #execution_timeout = timedelta(minutes=15)
    #excel平均时长:9分24秒
    execution_timeout = timedelta(minutes=60),
    email=['guoruiling@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_collect_ready_intime_detail_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/dm_collect_ready_intime_detail_dt/execute.hql',
    driver_memory='4G',
    driver_cores=2,
    executor_cores=6,
    executor_memory='6G',
    num_executors=30,
    conf={
        'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
        'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors': 40,  # 动态资源最大扩容 Executor 数
        'spark.dynamicAllocation.cachedExecutorIdleTimeout': 120,  # 动态资源自动释放闲置 Executor 的超时时间(s)
        'spark.executor.memoryOverhead': '4G',  # 堆外内存
        'spark.hadoop.hive.exec.dynamic.partition.mode': 'nonstrict', # 动态分区
        'spark.hadoop.hive.exec.dynamic.partition': 'true',
        'spark.sql.shuffle.partitions': 520,
        'spark.yarn.maxAppAttempts':1,
        'spark.executor.extraJavaOptions': '-XX:+UseG1GC -XX:ParallelGCThreads=6 -XX:ConcGCThreads=2',

    },
    #hiveconf={'hive.exec.dynamic.partition': 'true',
#              'hive.exec.dynamic.partition.mode': 'nonstrict',
#              'hive.exec.max.dynamic.partitions.pernode': 200,
#              'hive.exec.max.dynamic.partitions': 200
#              },
    yarn_queue='pro',
)

jms_dm__dm_collect_ready_intime_detail_dt  << [
    jms_dim__dim_network_whole_massage,
    jms_dwd__dwd_tab_reback_transfer_express_base,
    jms_dwd__dwd_tab_barscan_sitesend_base_dt,
    jms_dwd__dwd_tab_end_piece_base,
    jms_dwd__dwd_wide_barscan_operations_hist_dt,
    jms_dm__dm_waybill_collect_intime,
    jms_dwd__dwd_yl_oms_oms_waybill_incre_dt
]
 